Workshops and coaching
Four ways to build agentic AI capability: hands-on workshops for engineering, knowledge-work and data teams, plus vendor-neutral coaching for the leaders who sponsor them.
This workshop teaches knowledge workers to wield general-purpose AI agents like Claude Cowork, Microsoft 365 Copilot / Copilot Cowork / Copilot Studio, ChatGPT Work, and Google Workspace Studio as reliable, everyday problem-solving tools. Participants will master the full knowledge-work agent lifecycle: task decomposition, context engineering, iterative delegation, output verification, and responsible rollout.
The curriculum runs in two layers: durable techniques that transfer across any agentic stack, plus hands-on labs in the tools your team already runs.
Decompose real work into tasks an agent can reliably finish, with clear success criteria
Engineer context: the right documents, examples, and constraints, in the right order
Build single-step and multi-step agents for research, documents, email, meetings, and processes
Verify agent output: source checking, citation tracing, and red-flag detection
Add human-in-the-loop checkpoints: approval gates, review steps, escalation triggers
Roll out responsibly: data handling, auditability, and governance that sticks
In person, built on real tasks your team brought to the discovery sessions.
Every engagement is tailored. The full session-by-session plan comes with the syllabus.
| Element | Detail |
|---|---|
| Pre-Workshop Discovery | 2 × 2-hour online sessions (scoping, customization, stakeholder alignment) |
| Format | In person, instructor-led, hands-on |
| Duration | Shaped around your team's scope, confirmed in discovery |
| Prerequisites | None technical; bring 2–3 manual tasks you want to automate or accelerate |
| Deliverables | Personal agentic playbook, 2–3 working workflows, verification checklist, governance brief |
| Post-Workshop | 90-day instant messaging access; office hours and ongoing access to resources; prompt templates and case-study library |
The full syllabus covers every module in detail: session plans, hands-on labs, deliverables, and prerequisites. Enter your work email and we will send it to you.
The pace of agentic AI adoption creates a leadership paradox: you need to move fast, but one wrong bet can waste millions, erode engineering culture, or create unacceptable risk. AI Strategy & Executive Coaching gives senior leaders a trusted sounding board and structured framework for navigating this transformation without the vendor pitch.
This is a strategic engagement for CTOs, CIOs, CDOs, VPs of Engineering, and other senior leaders who need to:
Every engagement is custom-scoped around your specific context: industry, org size, technical maturity, regulatory environment, and leadership team dynamics.
A coherent AI strategy aligned to business outcomes, independent of vendor agendas
A roadmap grounded in your technology estate: what your systems, platforms, and data can support
Frameworks for opportunity assessment, build-vs-buy, and investment sequencing
An organizational blueprint: team topologies, new roles, hiring strategy
A governance model: decision rights, risk taxonomy, auditability, vendor management
A measurement system: maturity assessment, impact metrics, board-level reporting
A sounding board for the decisions that are hard to make alone
A structured program for the leaders driving your AI agenda. Each executive receives focused 1-on-1 coaching, the leadership team aligns on one strategy in a half-day session, and everyone keeps 90 days of direct support.
Sustained advisory for leaders who want a long-term thinking partner as they navigate the agentic transformation.
For organizations that need ongoing AI leadership but aren't ready for a full-time Chief AI Officer or VP of AI.
Thirteen modules form the core body of knowledge, scoped per engagement.
Phase 1 · Understand the Field: 1.1 The Agentic AI Landscape for Leaders · 1.2 Competitive & Market Intelligence · 1.3 AI Governance & Risk Management · 1.4 AI Safety, Ethics & Responsible Innovation
Phase 2 · Work the Tools: 2.1 Executive Tool Lab
Phase 3 · Build the Strategy: 3.1 Opportunity Assessment & Prioritization · 3.2 Organizational Design for the Agentic Era · 3.3 AI Culture Without Losing Engineering Culture · 3.4 Leading Through Technical Ambiguity · 3.5 Technology Platform Strategy · 3.6 AI Roadmap & Investment Planning · 3.7 Measuring AI Maturity & Impact · 3.8 Vendor & Partner Ecosystem Management
Every engagement starts with a no-obligation discovery deep-dive, and all engagements include a satisfaction guarantee: if the first session does not deliver clear value, there is no charge.
| Typical AI Advisory | What We Deliver |
|---|---|
| Vendor-sponsored strategy ("you need more of our product") | Independent, vendor-agnostic guidance. We don't resell, partner, or take commissions |
| Generic playbooks from consultants who've never built | Practitioner perspective: we build agentic systems daily and know what works at production scale |
| Focus on technology selection only | Holistic view: strategy, organization, governance, culture, and personal leadership |
| One-off deck with no follow-through | Ongoing relationship: we stay with you through execution, course-correction, and evolution |
| Element | Detail |
|---|---|
| Discovery | 1–2 hour deep-dive call to scope the engagement and confirm fit |
| Format | Online, in person, or hybrid depending on engagement type |
| Duration | Single session to multi-month retainer |
| Cohort | 1-on-1 sessions with each executive; the program adds a half-day ELT session with the leadership team |
| Prerequisites | None beyond a specific challenge or question you want to work through |
| Deliverables | Depends on engagement: strategy brief, roadmap, governance framework, org blueprint, or ongoing advisory |
The full syllabus details every module: topics covered, frameworks delivered, and how engagements are scoped. Enter your work email and we will send it to you.
This workshop teaches development teams to wield agentic coding assistants like Claude Code, GitHub Copilot, Codex CLI, Cursor, OpenCode, pi, and others as first-class development tools. Participants will master the full agentic development lifecycle: context engineering, skills authoring, the agentic dev loop, event-driven backpressure (deterministic tools wired to agent events for imperative self-correction), and production-grade deployment pipelines.
The curriculum runs in two layers: durable techniques that transfer across any agentic stack, plus hands-on labs in the tools your team already runs.
Engineer context-rich agent environments (AGENTS.md, skills, MCP servers, code graphs)
Wire deterministic verification tools to agent events
Generate and validate tests at every layer: unit, integration, E2E, visual regression
Deploy agent-generated code through staging, blue/green, and canary with automatic rollback
Configure the full agentic dev loop: Prompt, Generate, Verify, Iterate, Ship
Implement agentic code review, PR automation, and evidence-first review workflows
In person, aligned in discovery to your stack, tools, and backlog.
Every engagement is tailored. The full session-by-session plan comes with the syllabus.
| Element | Detail |
|---|---|
| Pre-Workshop Discovery | 2 × 2-hour online sessions (scoping, customization, stakeholder alignment) |
| Format | In person, instructor-led, hands-on |
| Duration | Shaped around your team's scope, confirmed in discovery |
| Prerequisites | Proficiency in Python/TypeScript; Git fluency; basic CI/CD familiarity |
| Deliverables | Agentic dev environment config, agentic CI/CD pipeline |
| Post-Workshop | 90-day instant messaging access; office hours and ongoing access to resources; tool configuration guides |
The full syllabus covers every module in detail: session plans, hands-on labs, deliverables, and prerequisites. Enter your work email and we will send it to you.
This workshop teaches data engineering teams to use agentic coding assistants like Claude Code, GitHub Copilot, Codex CLI, Cursor, and others to build, maintain, and evolve data pipelines, dashboards, and data applications on the Databricks Data Intelligence Platform. We teach the full agentic development lifecycle through the lens of data engineering: Unity Catalog context injection, Databricks AI Dev Kit skills, MCP-based tool access, event-driven backpressure (deterministic tools wired to agent events for imperative self-correction), and production-grade deployment patterns.
The curriculum runs in two layers: context-engineering and backpressure techniques that hold across any stack, plus hands-on labs in Databricks and the assistants your team already runs.
Set up the Databricks AI Dev Kit with MCP-based tool access under Unity Catalog permissions
Engineer context for data work: schema-first prompting, lineage-aware generation, data profile injection
Run the agentic data loop: requirement, context, generate, verify, deploy, monitor
Write data contracts: schema, quality, lineage, and compliance rules enforced by deterministic tools
Test pipelines at every layer: unit SQL tests, DLT integration tests, E2E golden-data comparison, dashboard visual regression
Deploy agent-built pipelines through staging schemas, blue/green data diffs, and canary releases
In person, shaped by an audit of your workspace, Unity Catalog setup, and pipelines.
Every engagement is tailored. The full session-by-session plan comes with the syllabus.
| Element | Detail |
|---|---|
| Pre-Workshop Discovery | 2 × 2-hour online sessions (scoping, customization, stakeholder alignment) |
| Format | In person, instructor-led, hands-on |
| Duration | Shaped around your team's scope, confirmed in discovery |
| Prerequisites | Python + SQL proficiency; active Databricks workspace; Git fluency; basic CI/CD familiarity |
| Deliverables | Databricks agentic dev environment config, agentic CI/CD pipeline |
| Post-Workshop | 90-day instant messaging access; office hours and ongoing access to resources; Databricks-specific follow-up; tool configuration guides |
The full syllabus covers every module in detail: session plans, hands-on labs, deliverables, and prerequisites. Enter your work email and we will send it to you.
Tell us where your team is with agentic tools and which track looks closest. We will recommend the right starting point.
Prefer email? hello@neurex.dev